using integrated methods of hierarchical fuzzy analysis and dynamic programming for sustainable management planning of gilan saravan park

in this study, sustainable management of saravan park of gilan was planned in the form a decision support system model in 3 periods of 10 years for different states of park and considering the economics, ecological and social criteria. in the first, using fuzzy analytic hierarchy programming, desirable level of economics, ecological and social criteria in their composite utility value in different time periods, decisions and states of park was attained simultaneously. results of this method showed for achieving simultaneously to optimal level of criteria, in the beginning of first 10 periods, the performance of ecological decision, in the beginning of second 10 years in three considered states for park, performance of social, ecological and ecological decisions respectively and in the beginning of third 10 years, performance of social and ecological decisions has achieved maximum composite utility value of goals. composite utility value was used as a part of entry data in dynamic programming model. results showed that in the beginning of first 10 years duration, ecological decision performance, in the beginning of second 10 years duration, with considering second situation and planned state of park, ecological decision performance, in the beginning of third 10 years duration, the performance of social decision with establishing the first planned situation was optimal for gaining the sustainable management in saravan park. considering to the results, for attaining sustainable management of saravan park of gilan, it is essential that decision makers pay more attention to ecological goal toward social and economical ones in futures planning.